Description
You will design and govern enterprise data architecture, focusing on advanced data modeling and establishing a single source of truth.
Responsibilities
- Design scalable cloud and on-premise data solutions.
- Facilitate data modeling sessions across the enterprise.
- Drive data governance practices for critical data domains.
- Mentor engineering teams on data architecture patterns.
Required Skills
- 15+ years of experience in data architecture.
- Expertise in ER/Logical/Physical modeling (Erwin).
- Proficiency with Kimball and Inmon data warehousing methodologies.
- Hands-on experience with Snowflake and Oracle Exadata.
- Experience with NoSQL databases, specifically MongoDB.
- Strong SQL performance tuning capabilities.
- Scripting experience using Python.
- Familiarity with event-driven and data mesh architectures.
- Domain knowledge in financial services data (accounts, cards, payments).
Preferred Skills
- Experience with Power BI or Splunk.
- Familiarity with data catalog tools (Alation/Collibra).